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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 3331 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0766. Min Act: -0.0002

Data Index: 347425 (C4 (Web Text))

Max Activating Token Index: 49

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Text #1

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Max Act: 0.0634. Min Act: -0.0002

Data Index: 1451116 (Python Code)

Max Activating Token Index: 201

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Text #2

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Max Act: 0.0670. Min Act: -0.0002

Data Index: 738090 (C4 (Web Text))

Max Activating Token Index: 482

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Text #3

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Data Index: 952051 (C4 (Web Text))

Max Activating Token Index: 235

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Text #4

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Max Act: 0.0682. Min Act: -0.0002

Data Index: 1276892 (C4 (Web Text))

Max Activating Token Index: 628

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Text #5

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Data Index: 949316 (C4 (Web Text))

Max Activating Token Index: 917

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Text #6

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Data Index: 129834 (C4 (Web Text))

Max Activating Token Index: 45

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Text #7

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Data Index: 1191629 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 452986 (C4 (Web Text))

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Text #9

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Data Index: 1407321 (Python Code)

Max Activating Token Index: 361

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Text #10

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Data Index: 959197 (C4 (Web Text))

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Text #11

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Data Index: 377388 (C4 (Web Text))

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Text #12

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Data Index: 1333143 (C4 (Web Text))

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Text #13

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Data Index: 1483058 (Python Code)

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Text #14

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Data Index: 1317592 (C4 (Web Text))

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Text #15

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Data Index: 597266 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #16

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Data Index: 388103 (C4 (Web Text))

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Text #17

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Data Index: 1065075 (C4 (Web Text))

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Text #18

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Data Index: 443775 (C4 (Web Text))

Max Activating Token Index: 637

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Text #19

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Data Index: 702363 (C4 (Web Text))

Max Activating Token Index: 113

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